药物发现
疾病
药品
药物开发
计算机科学
阿尔茨海默病
医学
计算生物学
生物信息学
药理学
生物
病理
作者
Pravin Ambure,Kunal Roy
出处
期刊:Current Drug Targets
[Bentham Science]
日期:2017-02-24
卷期号:18 (5): 522-533
被引量:22
标识
DOI:10.2174/1389450116666150907104855
摘要
Alzheimer's disease (AD) is a neurodegenerative disorder that is described by multiple factors linked with the progression of the disease. The currently approved drugs in the market are not capable of curing AD; instead, they merely provide symptomatic relief. Development of multi-target directed ligands (MTDLs) is an emerging strategy for improving the quality of the treatment against complex diseases like AD. Polypharmacology is a branch of pharmaceutical sciences that deals with the MTDL development. In this mini-review, we have summarized and discussed different strategies that are reported in the literature to design MTDLs for AD. Further, we have discussed the role of different in silico techniques and online resources in computer-aided drug discovery (CADD), for designing or identifying MTDLs against AD. Keywords: Alzheimer's disease, CADD, polypharmacology, multi-target directed ligands.
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